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System analysis of the sequencing quality of human whole exome samples on BGI NGS platform

Human exome sequencing is a classical method used in most medical genetic applications. The leaders in the field are the manufacturers of enrichment kits based on hybridization of cRNA or cDNA biotinylated probes specific for a genomic region of interest. Recently, the platforms manufactured by the...

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Autores principales: Belova, Vera, Pavlova, Anna, Afasizhev, Robert, Moskalenko, Viktoriya, Korzhanova, Margarita, Krivoy, Andrey, Cheranev, Valery, Nikashin, Boris, Bulusheva, Irina, Rebrikov, Denis, Korostin, Dmitriy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755732/
https://www.ncbi.nlm.nih.gov/pubmed/35022470
http://dx.doi.org/10.1038/s41598-021-04526-8
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author Belova, Vera
Pavlova, Anna
Afasizhev, Robert
Moskalenko, Viktoriya
Korzhanova, Margarita
Krivoy, Andrey
Cheranev, Valery
Nikashin, Boris
Bulusheva, Irina
Rebrikov, Denis
Korostin, Dmitriy
author_facet Belova, Vera
Pavlova, Anna
Afasizhev, Robert
Moskalenko, Viktoriya
Korzhanova, Margarita
Krivoy, Andrey
Cheranev, Valery
Nikashin, Boris
Bulusheva, Irina
Rebrikov, Denis
Korostin, Dmitriy
author_sort Belova, Vera
collection PubMed
description Human exome sequencing is a classical method used in most medical genetic applications. The leaders in the field are the manufacturers of enrichment kits based on hybridization of cRNA or cDNA biotinylated probes specific for a genomic region of interest. Recently, the platforms manufactured by the Chinese company MGI Tech have become widespread in Europe and Asia. The reliability and quality of the obtained data are already beyond any doubt. However, only a few kits compatible with these sequencers can be used for such specific tasks as exome sequencing. We developed our own solution for library pre-capture pooling and exome enrichment with Agilent probes. In this work, using a set of the standard benchmark samples from the Platinum Genome collection, we demonstrate that the qualitative and quantitative parameters of our protocol which we called “RSMU_exome” exceed those of the MGI Tech kit. Our protocol allows for identifying more SNV and indels, generates fewer PCR duplicates, enables pooling of more samples in a single enrichment procedure, and requires less raw data to obtain results comparable with the MGI Tech's protocol. The cost of our protocol is also lower than that of MGI Tech's solution.
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spelling pubmed-87557322022-01-13 System analysis of the sequencing quality of human whole exome samples on BGI NGS platform Belova, Vera Pavlova, Anna Afasizhev, Robert Moskalenko, Viktoriya Korzhanova, Margarita Krivoy, Andrey Cheranev, Valery Nikashin, Boris Bulusheva, Irina Rebrikov, Denis Korostin, Dmitriy Sci Rep Article Human exome sequencing is a classical method used in most medical genetic applications. The leaders in the field are the manufacturers of enrichment kits based on hybridization of cRNA or cDNA biotinylated probes specific for a genomic region of interest. Recently, the platforms manufactured by the Chinese company MGI Tech have become widespread in Europe and Asia. The reliability and quality of the obtained data are already beyond any doubt. However, only a few kits compatible with these sequencers can be used for such specific tasks as exome sequencing. We developed our own solution for library pre-capture pooling and exome enrichment with Agilent probes. In this work, using a set of the standard benchmark samples from the Platinum Genome collection, we demonstrate that the qualitative and quantitative parameters of our protocol which we called “RSMU_exome” exceed those of the MGI Tech kit. Our protocol allows for identifying more SNV and indels, generates fewer PCR duplicates, enables pooling of more samples in a single enrichment procedure, and requires less raw data to obtain results comparable with the MGI Tech's protocol. The cost of our protocol is also lower than that of MGI Tech's solution. Nature Publishing Group UK 2022-01-12 /pmc/articles/PMC8755732/ /pubmed/35022470 http://dx.doi.org/10.1038/s41598-021-04526-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Belova, Vera
Pavlova, Anna
Afasizhev, Robert
Moskalenko, Viktoriya
Korzhanova, Margarita
Krivoy, Andrey
Cheranev, Valery
Nikashin, Boris
Bulusheva, Irina
Rebrikov, Denis
Korostin, Dmitriy
System analysis of the sequencing quality of human whole exome samples on BGI NGS platform
title System analysis of the sequencing quality of human whole exome samples on BGI NGS platform
title_full System analysis of the sequencing quality of human whole exome samples on BGI NGS platform
title_fullStr System analysis of the sequencing quality of human whole exome samples on BGI NGS platform
title_full_unstemmed System analysis of the sequencing quality of human whole exome samples on BGI NGS platform
title_short System analysis of the sequencing quality of human whole exome samples on BGI NGS platform
title_sort system analysis of the sequencing quality of human whole exome samples on bgi ngs platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755732/
https://www.ncbi.nlm.nih.gov/pubmed/35022470
http://dx.doi.org/10.1038/s41598-021-04526-8
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